package mak.twitterSentiment.classes;
import gr.aueb.cs.nlp.postagger.WordWithCategory;

import java.util.ArrayList;
import java.util.List;

//Class for the result after preprocessing
public class PreprocessingResult {
	private String negation;	//negation feature
	private String sentence;	//text
	private List<WordWithCategory> pos;		//parts of speech
	private ArrayList<String> tokens_stem;	//stemmed tokens
	
	public void setNegation(String negation){
		this.negation = negation;
	}
	
	public String getNegation(){
		return this.negation;
	}
	
	public void setSentence(String sentence){
		this.sentence = sentence;
	}
	
	public String getSentence(){
		return this.sentence;
	}
	
	public void setPos(List<WordWithCategory> pos){
		this.pos = pos;
	}
	
	public List<WordWithCategory> getPos(){
		return this.pos;
	}
	
	public void setStems(ArrayList<String> tokens_stem){
		this.tokens_stem = tokens_stem;
	}
	
	public ArrayList<String> getStems(){
		return this.tokens_stem;
	}
}
